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Anomalies by Synthesis: Anomaly Detection using Generative Diffusion Models for Off-Road Navigation

Anomalies by Synthesis: Anomaly Detection using Generative Diffusion Models for Off-Road Navigation

IEEE International Conference on Robotics and Automation (ICRA), 2025
28 May 2025
Siddharth Ancha
Sunshine Jiang
Travis Manderson
Laura Brandt
Yilun Du
Philip R. Osteen
Nicholas Roy
ArXiv (abs)PDFHTML

Papers citing "Anomalies by Synthesis: Anomaly Detection using Generative Diffusion Models for Off-Road Navigation"

50 / 50 papers shown
Unified Multimodal Diffusion Forcing for Forceful Manipulation
Unified Multimodal Diffusion Forcing for Forceful Manipulation
Zixuan Huang
Huaidian Hou
Dmitry Berenson
DiffM
97
0
0
06 Nov 2025
PIETRA: Physics-Informed Evidential Learning for Traversing
  Out-of-Distribution Terrain
PIETRA: Physics-Informed Evidential Learning for Traversing Out-of-Distribution TerrainIEEE Robotics and Automation Letters (RA-L), 2024
Xiaoyi Cai
James Queeney
Tong Xu
A. Datar
Chenhui Pan
...
Ashton Flather
Philip R. Osteen
Nicholas Roy
Xuesu Xiao
Jonathan P. How
178
19
0
04 Sep 2024
Octo: An Open-Source Generalist Robot Policy
Octo: An Open-Source Generalist Robot Policy
Octo Model Team
Dibya Ghosh
Homer Walke
Karl Pertsch
Kevin Black
...
Quan Vuong
Ted Xiao
Dorsa Sadigh
Chelsea Finn
Sergey Levine
560
876
0
20 May 2024
FeatUp: A Model-Agnostic Framework for Features at Any Resolution
FeatUp: A Model-Agnostic Framework for Features at Any Resolution
Stephanie Fu
Mark Hamilton
Laura E. Brandt
Axel Feldmann
Zhoutong Zhang
William T. Freeman
MDE
320
83
0
15 Mar 2024
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road
  Autonomy
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road AutonomyIEEE Transactions on robotics (TRO), 2023
Xiaoyi Cai
Siddharth Ancha
Lakshay Sharma
Philip R. Osteen
Bernadette Bucher
Stephen Phillips
Jiuguang Wang
Michael Everett
Nicholas Roy
Jonathan P. How
EDL
288
54
0
10 Nov 2023
Anomaly Detection with Conditioned Denoising Diffusion Models
Anomaly Detection with Conditioned Denoising Diffusion ModelsGerman Conference on Pattern Recognition (GCPR), 2023
Arian Mousakhan
Thomas Brox
Jawad Tayyub
DiffM
293
92
0
25 May 2023
DINOv2: Learning Robust Visual Features without Supervision
DINOv2: Learning Robust Visual Features without Supervision
Maxime Oquab
Timothée Darcet
Théo Moutakanni
Huy Q. Vo
Marc Szafraniec
...
Edouard Grave
Julien Mairal
Patrick Labatut
Armand Joulin
Piotr Bojanowski
VLMCLIPSSL
1.1K
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0
14 Apr 2023
Segment Anything
Segment AnythingIEEE International Conference on Computer Vision (ICCV), 2023
A. Kirillov
Eric Mintun
Nikhila Ravi
Hanzi Mao
Chloe Rolland
...
Spencer Whitehead
Alexander C. Berg
Wan-Yen Lo
Piotr Dollár
Ross B. Girshick
MLLMVLM
960
11,140
0
05 Apr 2023
TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road
  Navigation
TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation
Xiangyu Meng
Nathan Hatch
Alexander Lambert
Anqi Li
Nolan Wagener
...
Samuel Deng
G. Okopal
Dieter Fox
Byron Boots
Amirreza Shaban
3DV
266
83
0
28 Mar 2023
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Hui Zhang
Zheng Wang
Dan Zeng
Zuxuan Wu
Yu-Gang Jiang
DiffM
439
77
0
15 Mar 2023
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
Cheng Chi
Zhenjia Xu
S. Feng
Eric A. Cousineau
Yilun Du
Benjamin Burchfiel
Russ Tedrake
Shuran Song
1.1K
2,214
0
07 Mar 2023
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based
  Diffusion Models and MCMC
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMCInternational Conference on Machine Learning (ICML), 2023
Yilun Du
Conor Durkan
Robin Strudel
J. Tenenbaum
Sander Dieleman
Rob Fergus
Jascha Narain Sohl-Dickstein
Arnaud Doucet
Will Grathwohl
DiffM
449
197
0
22 Feb 2023
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection
  in Semantic Segmentation
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic SegmentationIEEE International Conference on Computer Vision (ICCV), 2022
Yuyuan Liu
Choubo Ding
Yu Tian
Guansong Pang
Vasileios Belagiannis
Ian Reid
G. Carneiro
OODD
253
58
0
26 Nov 2022
RbA: Segmenting Unknown Regions Rejected by All
RbA: Segmenting Unknown Regions Rejected by AllIEEE International Conference on Computer Vision (ICCV), 2022
Nazir Nayal
Mısra Yavuz
João F. Henriques
Fatma Guney
UQCV
203
65
0
25 Nov 2022
MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image
  Pretraining
MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image PretrainingComputer Vision and Pattern Recognition (CVPR), 2022
Xiaoyi Dong
Jianmin Bao
Yinglin Zheng
Ting Zhang
Dongdong Chen
...
Weiming Zhang
Lu Yuan
Dong Chen
Fang Wen
Nenghai Yu
CLIPVLM
281
221
0
25 Aug 2022
Uncertainty-aware Panoptic Segmentation
Uncertainty-aware Panoptic SegmentationIEEE Robotics and Automation Letters (RA-L), 2022
Kshitij Sirohi
Sajad Marvi
Daniel Buscher
Wolfram Burgard
EDLUQCV
203
30
0
29 Jun 2022
Fast Unsupervised Brain Anomaly Detection and Segmentation with
  Diffusion Models
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion ModelsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
W. H. Pinaya
M. Graham
Robert J. Gray
P. F. D. Costa
Petru-Daniel Tudosiu
...
D. Werring
Geraint Rees
P. Nachev
Sebastien Ourselin
M. Jorge Cardoso
DiffMMedIm
218
133
0
07 Jun 2022
Locomotion Policy Guided Traversability Learning using Volumetric
  Representations of Complex Environments
Locomotion Policy Guided Traversability Learning using Volumetric Representations of Complex EnvironmentsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Jonas Frey
David Hoeller
Shehryar Khattak
Marco Hutter
228
63
0
29 Mar 2022
Diffusion Models for Medical Anomaly Detection
Diffusion Models for Medical Anomaly DetectionInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
J. Wolleb
Florentin Bieder
Robin Sandkühler
Philippe C. Cattin
MedImDiffM
258
364
0
08 Mar 2022
Dense Out-of-Distribution Detection by Robust Learning on Synthetic
  Negative Data
Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative DataItalian National Conference on Sensors (INS), 2021
Matej Grcić
Petra Bevandić
Zoran Kalafatić
Sinivsa vSegvić
360
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23 Dec 2021
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2021
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
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Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on
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Yuyuan Liu
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Fengbei Liu
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480
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Prior and Posterior Networks: A Survey on Evidential Deep Learning
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335
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Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image SynthesisNeural Information Processing Systems (NeurIPS), 2021
Prafulla Dhariwal
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Hermann Blum
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Roland Siegwart
Pascal Fua
Mathieu Salzmann
Matthias Rottmann
UQCV
263
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Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision TransformersIEEE International Conference on Computer Vision (ICCV), 2021
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Hugo Touvron
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Edouard Grave
Julien Mairal
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GANav: Efficient Terrain Segmentation for Robot Navigation in
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Entropy Maximization and Meta Classification for Out-Of-Distribution
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Score-Based Generative Modeling through Stochastic Differential
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